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宁夏引黄灌区春小麦微咸水灌溉管理的模拟
引用本文:杨建国,黄冠华,叶德智,徐 旭,王 军,黄权中,邰日坤,王诗景,孟令广.宁夏引黄灌区春小麦微咸水灌溉管理的模拟[J].农业工程学报,2010,26(4):49-56.
作者姓名:杨建国  黄冠华  叶德智  徐 旭  王 军  黄权中  邰日坤  王诗景  孟令广
作者单位:1. 中国-以色列国际农业研究培训中心,北京,100083;中国农业大学中国农业水问题研究中心,北京,100083;宁夏农林科学院农业资源与环境研究所,银川,750002
2. 中国-以色列国际农业研究培训中心,北京,100083;中国农业大学中国农业水问题研究中心,北京,100083
基金项目:国家高技术研究发展计划(863计划)课题(2006AA100207);国家科技支撑计划课题(2007BAC08B02;2006BAD11B06)
摘    要:为探讨宁夏引黄灌区春小麦适宜的微咸水灌溉管理模式,该文根据2007年田间试验的实测资料,应用SWAP模型在田间尺度上对微咸水灌溉条件下春小麦田间土壤水盐运移规律和灌溉制度进行模拟,对拟定的各种灌溉方案进行评价分析。结果表明,率定与验证的SWAP模型可用于当地微咸水灌溉管理,在当地微咸水与引黄水为1︰1的混灌条件下,试验年份春小麦优化灌溉方案为全生育期灌4水(分蘖水、拔节水、抽穗水和灌浆水),灌溉定额为2 400 m3/hm2;在75%和50%降雨年型下,春小麦优化灌溉方案为全生育期灌4水(分蘖水、拔节水、抽穗水和灌浆水),灌溉定额分别为3 000 m3/hm2和2 300 m3/hm2;在25%降雨年型下,春小麦优化灌溉方案为全生育期灌2水(拔节水和抽穗水),灌溉定额为2 000 m3/hm2。该研究所提出的优化灌溉模式对于引黄灌区微咸水高效灌溉利用具有一定的指导意义。

关 键 词:微咸水,灌溉,模拟,SWAP模型,水盐运移,灌溉制度
收稿时间:2008/10/17 0:00:00
修稿时间:2010/3/22 0:00:00

Saline water irrigation management for spring wheat in theYellow River Irrigation District of Ningxia
Yang Jianguo,Huang Guanhua,Ye Dezhi,Xu Xu,Wang Jun,Huang Quanzhong,Tai Rikun,Wang Shijing,Meng Lingguang.Saline water irrigation management for spring wheat in theYellow River Irrigation District of Ningxia[J].Transactions of the Chinese Society of Agricultural Engineering,2010,26(4):49-56.
Authors:Yang Jianguo  Huang Guanhua  Ye Dezhi  Xu Xu  Wang Jun  Huang Quanzhong  Tai Rikun  Wang Shijing  Meng Lingguang
Institution:1.Chinese-Israeli International Center for Research&Training in Agriculture/a>;Beijing 100083/a>;China/a>;2.Center for Agricultural Water Research in China/a>;China Agricultural University/a>;3.Institute of Agricultural Resources and Environment/a>;Ningxia Academy of Agriculture and Forestry Sciences/a>;Yinchuan 750002/a>;China
Abstract:In order to investigate the best irrigation management mode with saline water for spring wheat in the Yellow River irrigation district of Ningxia, the SWAP model was calibrated and validated with the experimental data carried out in 2007, then the model was applied to evaluate the saline water irrigation scheduling for the experimental year and different hydrological years. Calibration and validation results indicated that the simulated soil water content, salt concentration and crop growth indices were in good consistent with the measured data. Results implied that the model had been well calibrated and validated, and the model could be used as a management tool to evaluate the effects of various irrigation management practices on water and solute dynamics and crop yield. The simulated results indicated that the optimal irrigation management practice of spring wheat was to irrigate the field with four times of mixed irrigation (1:1 saline and fresh water) at total amount of 2 400 m3/hm2 for the experimental year. The optimal irrigation practices of spring wheat for the hydrologic years of 75% and 50% were four times of mixed irrigation each for pre-sowing, jointing, heading and filling stages with total irrigation amount of 3 000 m3/hm2 and 2 300 m3/hm2, respectively. And for the hydrologic year of 25%, application of two times of mixed irrigation each for jointing and heading stages with total amount of 2 000 m3/hm2 was the optimal saline water irrigation practice of spring wheat. The optimal irrigation mode has guiding significance to effective irrigation of saline water in Yellow River Irrigation District.
Keywords:saline water  irrigation  simulation  SWAP model  water and solute transport  irrigation scheduling
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